This course uses three problems often covered in introductory astro-physics courses to play in Python. Along the way you'll learn some astronomy and how to use a variety of datascience libraries like NumPy, Matplotlib, pandas, and pint.

The RPython blog offers insights, tutorials, and updates on RPython, a subset of the Python programming language designed for writing interpreters and virtual machines. Developers can learn about RPython features, optimization techniques, and applications in building programming language implementations. Additionally, the blog covers topics such as JIT compilation, garbage collection, and static analysis using RPython, providing resources for compiler and language developers.

Real Python

Use Python to explore introductory astrophysics topics with this course. Learn about using pandas for working with dataframes, visualizing information with Matplotlib, and handling scientific units. The course includes 14 lessons, video subtitles, full transcripts, downloadable resources, and Q&A support from Python experts.

Exploring Astrophysics in Python With pandas and Matplotlib – Real Python